1 citations · 2 across the 4 of their papers we have counts for
5 papers
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection
Jorge Rivero, Bernardete Ribeiro, Ning Chen +1
One of the main problems in Network Intrusion Detection comes from constant rise of new attacks, so that not enough labeled examples are available for the new classes of attacks. T…
A Comparison of Algorithms for Intrusion Detection on Batch and Data Stream Environments
Jorge Luis Rivero Pérez, Bernardete Ribeiro, Kadir Hector Ortiz
Intruders detection in computer networks has some deficiencies from machine learning approach, given by the nature of the application. The principal problem is the modest display o…
Proposal of Data Processing Platform for Direct Marketing Data
Jorge Luis Rivero Pérez, Yaimara Peñate Santana, Pedro Harenton Martínez López
Data mining has been widely used to identify potential customers for a new product or service. In this article is done a study of previous work relating to the application of data…
Attribute Learning for Network Intrusion Detection
Jorge Luis Rivero Pérez, Bernardete Ribeiro
Network intrusion detection is one of the most visible uses for Big Data analytics. One of the main problems in this application is the constant rise of new attacks. This scenario,…
Mahalanobis Distance Metric Learning Algorithm for Instance-based Data Stream Classification
Jorge Luis Rivero Perez, Bernardete Ribeiro, Carlos Morell Perez
With the massive data challenges nowadays and the rapid growing of technology, stream mining has recently received considerable attention. To address the large number of scenarios…